Pinned Repositories
arcsv
Complex structural variant detection from WGS data
CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
COSINE
COSINE is an aligner tool for mapping long noisy reads.
CoupledNMF
Coupled clustering of single cell genomic data
DC3
PECA
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
rss-net
RSS-NET: Regression with Summary Statistics exploiting Network Topology.
sc-compReg
R package for single-cell comparative regulatory analysis
scABC
TimeReg
time course regulatory analysis from paired gene expression and chromatin accessibility time course data
The WH Wong lab at Stanford's Repositories
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
SUwonglab/PECA
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
SUwonglab/arcsv
Complex structural variant detection from WGS data
SUwonglab/scABC
SUwonglab/rss-net
RSS-NET: Regression with Summary Statistics exploiting Network Topology.
SUwonglab/CoupledNMF
Coupled clustering of single cell genomic data
SUwonglab/TimeReg
time course regulatory analysis from paired gene expression and chromatin accessibility time course data
SUwonglab/sc-compReg
R package for single-cell comparative regulatory analysis
SUwonglab/COSINE
COSINE is an aligner tool for mapping long noisy reads.
SUwonglab/DC3
SUwonglab/m2h-ele
Sequence-conserved Enhancer-like Elements
SUwonglab/vPECA
SUwonglab/Roundtrip
Roundtrip: a deep generative neural density estimator
SUwonglab/AD-genomicLLM
Associating genotype to imaging and clinical phenotypes of Alzheimer’s disease by leveraging genomic large language model
SUwonglab/BayesGM
A Bayesian approach for generative modeling of high-dimensional data
SUwonglab/carrier-stat
Carrier statistic is a statistical framework to prioritize disease-related rare variants by integrating gene expression data
SUwonglab/cRegulon
cRegulon is an optimization model to identify combinatorial regulon from single cell expression and chromatin accessibility data.
SUwonglab/DeepCAGE
A deep densely connected convolutional network for predicting chromatin accessibility with attention on gene expression
SUwonglab/DeepTACT
DeepTACT: predicting three-dimensional chromatin contacts via bootstrapping deep learning
SUwonglab/enrichTF
Bioconductor package enrichTF: Transcription Factors Enrichment Analysis
SUwonglab/Epi-PRS
Polygenic prediction by leveraging genomic large language models
SUwonglab/OpenCausal
A method for scoring the cell-type specific impacts of non-coding variants in personal genomes
SUwonglab/pipeFrame
Bioconductor/R package pipeFrame: Pipeline framework for bioinformatics in R
SUwonglab/R_utils
Useful util R functions
SUwonglab/scDEC
Simultaneous deep generative modeling and clustering of single cell genomic data